Chapter 10: Q. 10.8 (page 431)
Suppose it is relatively easy to simulate from Fi for each i = 1, ... , n. How can we simulate from
(a)
(b)
Short Answer
(a) The CDF is the CDF of maximum.
(b) The CDF is the CDF of minimum.
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Chapter 10: Q. 10.8 (page 431)
Suppose it is relatively easy to simulate from Fi for each i = 1, ... , n. How can we simulate from
(a)
(b)
(a) The CDF is the CDF of maximum.
(b) The CDF is the CDF of minimum.
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Give an approach for simulating a random variable having probability density function
f(x) = 30(x2 鈭 2x3 + x4) 0 < x < 1
Let X and Y be independent exponential random variables with mean 1.
(a) Explain how we could use simulation to estimate E[eXY].
(b) Show how to improve the estimation approach in part (a) by using a control variate.
Let F be the distribution function
F(x) = xn 0 < x < 1
(a) Give a method for simulating a random variable having distribution F that uses only a single random number.
(b) Let U1, ... , Un be independent random numbers. Show that
P{max(U1, ... , Un) 鈥 x} = xn
(c) Use part (b) to give a second method of simulating a random variable having distribution F.
(a) Verify that the minimum of (4.1) occurs when a is as given by (4.2).
(b) Verify that the minimum of (4.1) is given by (4.3).
Use the rejection method with g(x) = 1, 0 < x < 1, to determine an algorithm for simulating a random variable having density function
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